課程目標: Serve three purposes: (1) a familiarization course for most students, (2) a background for entry-level practice in statistics-related engineering, and (3) a practical skill for data analysis in research; Challenge students with open-ended problem sets that encourage students to think critically about engineering statistics, which, whenever possible, are tied to real world scenarios.
課程內容概要: Lecture # Lecture # 1 Introduction 9 Inferences 2 Probability 10 Analysis of Variable (ANOVA) 3 Discrete Random Variable 11 Multifactor ANOVA 4 Continuous Random Variable 12 Simple Linear Regression 5 Joint Probability Distributions 13 Nonlinear and Multiple Regression 6 Point Estimation 14 Analysis of Categorical Data 7 Statistical Intervals 15 Distribution-Free Procedure 8 Tests of Hypotheses 16 Quality Control Method
成績計算方式: Graduate Students Undergraduate Students Attendance 10% 10% Homework 30% 30% Mid-Term Exam 5% (open-book test) 30% (open-book test) Final Exam 5% (open-book test) 30% (open-book test) Term Paper 50%
教科書或主要參考書: (a) Devore, J.L. (2000). Probability and Statistics for Engineering and the Science, 5th Edition, Duxbury Press, New York.